A Data Management Plan will be elaborated within the first six months of the project, guaranteeing an appropriate disclosure of research data to the public and standardised data management within the project. The types of data that will be generated and collected within the project comprise design data (oligonucleotide sequences, technical drawings, etc.), laboratory test data (images, reaction parameters, etc.), software and metadata (final results/scientific insights, documentation, reports, publications, etc.). Three different levels of confidentiality will be defined according to IP issues and marketing strategies: classified data, IPR relevant data and public data.
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Author(s): Lena Hoffmann, Andreas Schummer, Julia Reimann, Maria F. Haurat, Amanda J. Wilson, Morgan Beeby, Bettina Warscheid, Sonja-V. Albers
Published in: MicrobiologyOpen, Issue 6/1, 2017, Page(s) e00414, ISSN 2045-8827
Author(s): Yasaman Ahmadi, Elisa De Llano, Ivan Barišić
Published in: Nanoscale, Issue 10/16, 2018, Page(s) 7494-7504, ISSN 2040-3364
Author(s): M. Florencia Haurat, Ana Sofia Figueiredo, Lena Hoffmann, Lingling Li, Katharina Herr, Amanda J. Wilson, Morgan Beeby, Jörg Schaber, Sonja-Verena Albers
Published in: Molecular Microbiology, Issue 103/1, 2017, Page(s) 181-194, ISSN 0950-382X
Author(s): Haichao Miao, Elisa De Llano, Johannes Sorger, Yasaman Ahmadi, Tadija Kekic, Tobias Isenberg, M. Eduard Groller, Ivan Barisic, Ivan Viola
Published in: IEEE Transactions on Visualization and Computer Graphics, Issue 24/1, 2018, Page(s) 1014-1024, ISSN 1077-2626
Author(s): H. Miao, E. De Llano, T. Isenberg, M. E. Gröller, I. Barišić, I. Viola
Published in: Computer Graphics Forum, Issue 37/3, 2018, Page(s) 403-413, ISSN 0167-7055